Introductory Statistics : Basic Ideas and Instruments for Statistical Inference
link Source: www.edx.org
date_range Starts on July 5, 2022
event_note Ends on August 3, 2022
list 3 sequences
assignment Level : Introductory
chat_bubble_outline Language : English
card_giftcard 0 points
Users' reviews
-
starstarstarstarstar
0 reviews

Key Information

credit_card Free access
verified_user Fee-based Certificate
timer 3 hours in total

About the content

Statistical Inference is the process by which data is used to draw a conclusionoruncover ascientific truthabout a population from asample. This course aims to familiarize the student with several ideas and instruments for statistical inference. It covers fundamental concepts and properties of probability.

Specifically, youwill learn to work with sequences of successes and failures using the binomial formula. You will also learn how the law of averages can be used, as well as how to understand stochastic processes by applying box models. The normal approximation for probability histogram, which is an essential idea for statistical inference, will be discussed in depth in this course.

  • Probability
  • The Binomial Formula
  • The Law of Averages
  • The Expected Value and Standard Error
  • The Normal Approximation for Probability Histograms

more_horiz Read more
more_horiz Read less
dns

Syllabus

[Week 1]

  • Probability
  • Examples of Probability Calculation

[Week 2]

  • The Binomial Formula
  • The Law of Averages
  • The Expected Value and Standard Error

[Week 3]

  • The Normal Approximation for Probability Histograms
record_voice_over

Instructors

Ryu Keun-kwan
Professor, Dept of Economics, Seoul National University / Former Commissioner
Statistics Korea

Jaebeom An
TA
Seoul National University

store

Content Designer

Seoul National University
Seoul National University
assistant

Platform

Edx

Harvard University, the Massachusetts Institute of Technology, and the University of California, Berkeley, are just some of the schools that you have at your fingertips with EdX. Through massive open online courses (MOOCs) from the world's best universities, you can develop your knowledge in literature, math, history, food and nutrition, and more. These online classes are taught by highly-regarded experts in the field. If you take a class on computer science through Harvard, you may be taught by David J. Malan, a senior lecturer on computer science at Harvard University for the School of Engineering and Applied Sciences. But there's not just one professor - you have access to the entire teaching staff, allowing you to receive feedback on assignments straight from the experts. Pursue a Verified Certificate to document your achievements and use your coursework for job and school applications, promotions, and more. EdX also works with top universities to conduct research, allowing them to learn more about learning. Using their findings, edX is able to provide students with the best and most effective courses, constantly enhancing the student experience.

You are the designer of this MOOC?
What is your opinion on this resource ?
Content
5/5
Platform
5/5
Animation
5/5